Search Results for "wise memory optimizer"
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Showing 26 open source projects for "wise memory optimizer"
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FPS Booster
Optimizer FPS boosts performance for Roblox, CS reducing ping ,memory
Optimizer FPS,Fps Booster is a lightweight tool 🎮 that boosts your system’s performance for popular games like Roblox, CS, and Valorant. It’s particularly effective for Roblox, where it helps to reduce ping 🌐 and improve overall gameplay 🚀. Even if you’re using a low-end PC, Optimizer FPS can enhance your gaming experience by optimizing settings and providing smoother, more responsive gameplay. Here’s a detailed look at what it can do: -
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Roblox Ping Optimizer
Roblox Ping Optimizer ping, safe & clean, no exploits. Enhance!
🚀 Roblox Ping Optimizer- Created by Akash Siddique! 🎮 🔥 Fresh Update: Sleek New Modern UI! ⚡ Boost Your Gameplay Experience! Elevate your Roblox sessions with ultra-fast responses and optimized performance. Conquer the virtual world smoother and faster than ever. Join the revolution and take your gaming to the next level! 🌟 Why Choose Roblox Ping Booster? Unleash your gaming potential with just one click! 🚀 -
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Model Explorer
A modern model graph visualizer and debugger
Model Explorer is a visual tool for exploring, debugging, and optimizing ML models deployed on edge devices. Developed by Google AI Edge, it offers a browser-based interface to inspect layer-wise performance, memory usage, and inference timing of TensorFlow Lite and other supported models. It’s a powerful utility for developers optimizing models for constrained environments. -
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FSRS4Anki
A modern Anki custom scheduling based on Free Spaced Repetition
A modern spaced-repetition scheduler for Anki based on the Free Spaced Repetition Scheduler algorithm. -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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InMemoryDatasets.jl
Multithreaded package for working with tabular data in Julia
InMemoryDatasets.jl is a multithreaded package for data manipulation and is designed for Julia 1.6+ (64-bit OS). The core computation engine of the package is a set of customized algorithms developed specifically for columnar tables. -
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rtabmap
RTAB-Map library and standalone application
...The loop closure detector uses a bag-of-words approach to determine how likely a new image comes from a previous location or a new location. When a loop closure hypothesis is accepted, a new constraint is added to the map’s graph, then a graph optimizer minimizes the errors in the map. A memory management approach is used to limit the number of locations used for loop closure detection and graph optimization so that real-time constraints on large-scale environments are always respected. RTAB-Map can be used alone with a handheld Kinect, a stereo camera or a 3D lidar for 6DoF mapping, or on a robot equipped with a laser rangefinder for 3DoF mapping. -
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Polars
Dataframes powered by a multithreaded, vectorized query engine
Polars is a high-performance, multi-language DataFrame library built in Rust using Apache Arrow. It delivers blazing-fast, vectorized, and parallel data manipulation with both eager and lazy execution, making it an excellent tool for data processing in Python, Rust, Node.js, R, and SQL contexts. -
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LightGBM
Gradient boosting framework based on decision tree algorithms
LightGBM or Light Gradient Boosting Machine is a high-performance, open source gradient boosting framework based on decision tree algorithms. Compared to other boosting frameworks, LightGBM offers several advantages in terms of speed, efficiency and accuracy. Parallel experiments have shown that LightGBM can attain linear speed-up through multiple machines for training in specific settings, all while consuming less memory. LightGBM supports parallel and GPU learning, and can handle... -
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PhoneNumberKit
A Swift framework for parsing and formatting phone numbers
...All of your interactions with PhoneNumberKit happen through a PhoneNumberKit object. The first step you should take is to allocate one. A PhoneNumberKit instance is relatively expensive to allocate (it parses the metadata and keeps it in memory for the object's lifecycle), you should try and make sure PhoneNumberKit is allocated once and deallocated when no longer needed. To parse a string, use the parse function. The region code is automatically computed but can be overridden if needed. PhoneNumberKit automatically does a hard type validation to ensure that the object created is valid, this can be quite costly performance-wise and can be turned off if needed. -
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TensorRT
C++ library for high performance inference on NVIDIA GPUs
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference. It includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for deep learning inference applications. TensorRT-based applications perform up to 40X faster than CPU-only platforms during inference. With TensorRT, you can optimize neural network models trained in all major frameworks, calibrate for lower precision with high accuracy, and deploy to hyperscale data centers,... -
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rw
rw calculates rank-width and rank-decompositions.
...It is based on ideas from "Computing rank-width exactly" by Sang-il Oum, "Sopra una formula numerica" by Ernesto Pascal, "Generation of a Vector from the Lexicographical Index" by B.P. Buckles and M. Lybanon and "Fast additions on masked integers" by Michael D. Adams and David S. Wise. On 2009's computers it works quite well up to graph sizes of about 28 nodes. Runtime and memory usage are exponential in the graph size. -
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rathole
A lightweight and high-performance reverse proxy for NAT traversal
...High Performance Much higher throughput can be achieved than frp, and more stable when handling a large volume of connections. Low Resource Consumption Consumes much fewer memory than similar tools. See Benchmark. The binary can be as small as ~500KiB to fit the constraints of devices, like embedded devices as routers. Security Tokens of services are mandatory and service-wise. The server and clients are responsible for their own configs. With the optional Noise Protocol, encryption can be configured at ease. ... -
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FairScale
PyTorch extensions for high performance and large scale training
FairScale is a collection of PyTorch performance and scaling primitives that pioneered many of the ideas now used for large-model training. It introduced Fully Sharded Data Parallel (FSDP) style techniques that shard model parameters, gradients, and optimizer states across ranks to fit bigger models into the same memory budget. The library also provides pipeline parallelism, activation checkpointing, mixed precision, optimizer state sharding (OSS), and auto-wrapping policies that reduce boilerplate in complex distributed setups. Its components are modular, so teams can adopt just the sharding optimizer or the pipeline engine without rewriting their training loop. ... -
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Fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python
Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling and other text generation tasks. We provide reference implementations of various sequence modeling papers. Recent work by Microsoft and Google has shown that data parallel training can be made significantly more efficient by sharding the model parameters and optimizer state across data parallel workers. These ideas are encapsulated in the... -
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Img Optimizer Gradle Plugin
Gradle plugin for optimizing PNGs
...Because it is integrated into the build, it can process only changed images and skip redundant work, improving performance. Its configuration is minimal, making it easy to adopt in existing Android projects. For apps sensitive to download size or memory usage, this plugin offers a practical way to squeeze out extra gains in deployment efficiency. -
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SimSiam
PyTorch implementation of SimSiam
SimSiam is a PyTorch implementation of “Exploring Simple Siamese Representation Learning” by Xinlei Chen and Kaiming He. The project introduces a minimalist approach to self-supervised learning that avoids negative pairs, momentum encoders, or large memory banks—key complexities of prior contrastive methods. SimSiam learns image representations by maximizing similarity between two augmented views of the same image through a Siamese neural network with a stop-gradient operation, preventing... -
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ZiteCalculator
A simple Windows Calculator with Radix conversion and Memory Storage
A simple Windows Calculator with Radix conversion, bit-wise operations(with 32-bit numbers only), other operations with 64-bit numbers. All radices from 2 to 10 & 16, binary, Decimal, Hex, Octa etc supported. The current operation will shown in a separate part to keep track. Multiple answers can be stored in Memory variables for further use. All Memory items stored, can be viewed in a separate window and its operation details also viewable, to help users select correct part and substitute during big evaluations done part by part. ... -
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Rdbtools
Parse Redis dump.rdb files, Analyze Memory, and Export Data to JSON
Rdbtools is a parser for Redis' dump.rdb files. The parser generates events similar to an XML sax parser and is very efficient memory-wise. Rdbtools is written in Python, though there are similar projects in other languages. Every run of RDB Tool requires to specify a command to indicate what should be done with the parsed RDB data. Valid commands are JSON, diff, justkeys, justkeyvals and protocol. The JSON command output is UTF-8 encoded JSON. By default, the callback try to parse RDB data using UTF-8 and escape non 'ASCII printable' characters with the \U notation, or non-UTF-8 parsable bytes with \x. ... -
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Stacer
Linux System Optimizer and Monitoring
Stacer is an open source system optimizer and application monitor that helps users to manage the entire system with different aspects, it's an all-in-one system utility. In the Startup Apps tab, you can view the applications the system launches at boot time and set up new startup apps. This is especially handy if you work with different distributions: You do not always need to think about where you need to set up applications that run at boot time on the respective systems, and you can also... -
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JILRuntime/JewelScript
An object-oriented script language to embed in any application
A general purpose, object-oriented script language that compiles into code for a register based virtual machine. The language is quite similar to object-oriented high-level languages like Java and C#. The library is entirely self-sufficient and ANSI C compliant. It's main purpose is to be embedded in any application to allow automation of that application through scripting. An integrated C++ binding code generator allows you to create bindings for your application's classes in seconds.... -
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Drawable Optimizer
Gradle plugin to optimize png files and reduce resultant apk size
...Developers can fine-tune which directories and formats to process and exclude sensitive assets where bit-exactness matters. The result is faster downloads, lower install sizes, and improved memory characteristics on resource-constrained devices. It fits naturally into continuous integration, ensuring optimizations remain consistent over time. -
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[eMo]Web Browser Optimizer 2.0.0.1
http://com0do99-net.blogspot.com/p/report.html
[eMo]Web Browser Optimizer Feature : # - handles memory usage of the browser Added Browsers: >> Firefox >> Chrome >> Opera >> IE [Internet Explorer] >> Palemoon >> Maxthon >> Safari >> Green Browser Other: >> Comodo Dragon >> K-Meleon >> Flock >> SeaMonkey >> Netscape >> Avant Browser >> Orca Browser >> Lunascape >> Sleipnir #Need .Net FrameWork v.2 Created by Denmas.Arhyf 2013 Comodo99+ Thank You ^_^ -
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fem2d
2D Finite Element Method Tools
Collection of programs developed to perform various engineering analyses on structures using the finite element technique. -
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FyDB is a distributed in-memory no-SQL DB. It supports distributed deployment, and can integrate heterogeneous data sources. Data of FyDB is stroed in memory as key-value structure, and it is also persistent. Join this project: fuyuncat@gmail.com
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Next Level Gnutella File Sharing client. Has some extreme features like Memory Profiler(PC Optimizer), VideoToons Game and Celebrity Themes (Angelina Jolie Theme, Brad Pitt Theme, Shakira Theme, etc) and much more.
